1 citations · 2 across the 3 of their papers we have counts for
3 papers
Empirical Bayes Double Shrinkage for Combining Biased and Unbiased Causal Estimates
Evan T. R. Rosenman, Francesca Dominici, Luke Miratrix
Motivated by the proliferation of observational datasets and the need to integrate non-randomized evidence with randomized controlled trials, causal inference researchers have rece…
Race and ethnicity data for first, middle, and last names
Evan T. R. Rosenman, Santiago Olivella, Kosuke Imai
We provide the largest compiled publicly available dictionaries of first, middle, and last names for the purpose of imputing race and ethnicity using, for example, Bayesian Improve…
Recalibration of Predictive Models as Approximate Probabilistic Updates
Evan T. R. Rosenman, Santiago Olivella
The output of predictive models is routinely recalibrated by reconciling low-level predictions with known derived quantities defined at higher levels of aggregation. For example, m…